Senior Solutions Architect, AI Infrastructure at NVIDIA

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

356500.0

Posted On

27 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Design, Technical Support, AI Infrastructure, GPU Products, Networking, Customer Engagement, Problem Solving, Time Management, Interpersonal Skills, C/C++, Python, Embedded Linux, APIs, NVIDIA Technology, OEM Experience

Industry

Computer Hardware Manufacturing

Description

We are currently seeking a Senior Solutions Architect to join our dedicated and hardworking team. At NVIDIA, we are leading the AI computing revolution, creating innovative deep learning solutions that are transforming industries globally. As a member of our team, you will play a vital role in introducing our groundbreaking GPU products to various deployments, from data centers to edge computing. If you have a strong passion for system design and a successful history of engaging with customers on a technical level, this is an excellent opportunity for you to make a substantial contribution. What you'll be doing: Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest NVIDIA GPU supercomputers for new and existing customers. Be a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins. Actively establish and nurture technical relationships with engineers, management, and architects at key customer accounts. Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions. Provide onsite support to solve hardware and software problems, with a focus on deep learning inference. Lead the product through its entire lifecycle, from the design-in phase to end-of-life, ensuring flawless execution and customer happiness. Develop technical solutions including hardware & software demos and example system designs. Offer technical and sales training to direct sales teams and channel partners. What we need to see: BS or MS in Engineering, Electrical Engineering, Physics, or Computer Science (or equivalent experience). 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles. Capable of excelling in a dynamic, constantly evolving environment. Remarkable talent for effectively managing multiple initiatives and priorities. Expert analytical and problem-solving abilities. Strong time-management and interpersonal skills for coordinating complex projects. Excellent written and oral communication skills in English, with the ability to collaborate effectively with both management and engineering teams. Ways to stand out from the crowd: Experience with ARM and NVIDIA GPU development. Proficiency in C/C++ and Python programming. Knowledge of Embedded Linux Systems, APIs, and similar embedded OS. Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, UFM. Experience working with OEMs in industrial, military, and ruggedized computing spaces. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until October 30, 2025. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. NVIDIA is the world leader in accelerated computing. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA.

Responsibilities

Help architect and scale high-performance, distributed AI infrastructure for customers. Provide onsite support and lead the product through its entire lifecycle to ensure customer satisfaction.